Comparative Analysis of On-Chip FPGA Memory Architectures for Viterbi Decoder Implementation in DVB Systems

High-definition Digital Video Broadcasting (DVB) systems demand high data rates, resulting in increased hardware complexity and power consumption, with the Viterbi decoder (VD) being a key contributor. The substantial memory resources required for these high data rates drive this research, which investigates the impact of diverse static random-access memory (SRAM) architectures on Zynq FPGA and their embedded memory resources, aiming to design power-efficient and less complex Viterbi decoders. Besides, the effect of different memories architectures on the transceiver (Tx-Rx) system has been studied. Viterbi decoder is implemented with different memory architectures on xczu7ev-2ffvc1156: flip flops, distributed RAM, block ram (BRAM), and UltraRAMTM (URAM). BRAM IP from AMD has significantly improved the dynamic power of Viterbi decoder by 97% compared to other available memories. Effectiveness of the employed BRAM is ensured by saving about 50% of the total power of the baseband transceiver system. That Tx-Rx operates at a frequency of 125MHz with a throughput of 62.3 Mbps, a code rate: ½, and 16APSK modulation scheme. Viterbi decoder has achieved a reduction in power compared to sleepy keeper and space time trellis code (STTC) with about 44% and 61% respectively. Functionality of the proposed VD architecture for signal to noise ratio (SNR) of 0 dB at additive white Gaussian noise (AWGN) channel and vector length of 3,264 bits is verified. Hardware validation on ZCU104 based on DVB standard is also done and reported.

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Publication Details

Journal
JES. Journal of Engineering Sciences/JES. Journal of engineering sciences
Published
2025-05-22
DOI
https://doi.org/10.21608/jesaun.2025.344883.1393
Primary Topic
Error Correcting Code Techniques
Type
article
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article

Comparative Analysis of On-Chip FPGA Memory Architectures for Viterbi Decoder Implementation in DVB Systems

Hassan Mostafa, Khalil Yousef, Asmaa Mosbeh, A.T. Younis
JES. Journal of Engineering Sciences/JES. Journal of engineering sciences
Error Correcting Code Techniques
article

Comparative Analysis of On-Chip FPGA Memory Architectures for Viterbi Decoder Implementation in DVB Systems

Hassan Mostafa, Khalil Yousef, Asmaa Mosbeh, A.T. Younis
article en

Abstract

High-definition Digital Video Broadcasting (DVB) systems demand high data rates, resulting in increased hardware complexity and power consumption, with the Viterbi decoder (VD) being a key contributor. The substantial memory resources required for these high data rates drive this research, which investigates the impact of diverse static random-access memory (SRAM) architectures on Zynq FPGA and their embedded memory resources, aiming to design power-efficient and less complex Viterbi decoders. Besides, the effect of different memories architectures on the transceiver (Tx-Rx) system has been studied. Viterbi decoder is implemented with different memory architectures on xczu7ev-2ffvc1156: flip flops, distributed RAM, block ram (BRAM), and UltraRAMTM (URAM). BRAM IP from AMD has significantly improved the dynamic power of Viterbi decoder by 97% compared to other available memories. Effectiveness of the employed BRAM is ensured by saving about 50% of the total power of the baseband transceiver system. That Tx-Rx operates at a frequency of 125MHz with a throughput of 62.3 Mbps, a code rate: ½, and 16APSK modulation scheme. Viterbi decoder has achieved a reduction in power compared to sleepy keeper and space time trellis code (STTC) with about 44% and 61% respectively. Functionality of the proposed VD architecture for signal to noise ratio (SNR) of 0 dB at additive white Gaussian noise (AWGN) channel and vector length of 3,264 bits is verified. Hardware validation on ZCU104 based on DVB standard is also done and reported.

JES. Journal of Engineering Sciences/JES. Journal of engineering sciencesVol. 0(0)
University of Waterloo (CA), Assiut University (EG)
Openalex Percentile: Top 87%
Error Correcting Code Techniques
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